Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation * Translate business and operational priorities into transformation roadmaps and technical strategies * Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation * Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation * Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers * Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge i nfrastructure, AI/ML services, spatial context, and enterprise applications * Implement integration of physical/spati al AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-relat ed ecosystems, and enterprise platforms * Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner * Help shape Deloitte's market-facing capabilities focused on digital twins, OT t ransformation, and spatial/physic al AI use cases across priority sectors The Team Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. Qualifications Required * Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field * 3+ years of relevant experience in consulting, industry, or a combination of both * Experience working with clients on digital twin, spatial technologies, OT t ransformation, industrial/edg e AI, or related operational technology initiatives * Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services * Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to * NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments * GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder * Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms * Ability to travel up to 50% on average, based on the work you do and the clients and industries/sec tors you serve * Limited immigration sponsorship may be available.